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Evolution of neural activity in circuits bridging sensory and abstract knowledge

Mastrogiuseppe, Francesca; Hiratani, Naoki; Latham, Peter; (2023) Evolution of neural activity in circuits bridging sensory and abstract knowledge. eLife , 12 , Article e79908. 10.7554/eLife.79908. Green open access

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Abstract

The ability to associate sensory stimuli with abstract classes is critical for survival. How are these associations implemented in brain circuits? And what governs how neural activity evolves during abstract knowledge acquisition? To investigate these questions, we consider a circuit model that learns to map sensory input to abstract classes via gradient-descent synaptic plasticity. We focus on typical neuroscience tasks (simple, and context-dependent, categorization), and study how both synaptic connectivity and neural activity evolve during learning. To make contact with the current generation of experiments, we analyze activity via standard measures such as selectivity, correlations, and tuning symmetry. We find that the model is able to recapitulate experimental observations, including seemingly disparate ones. We determine how, in the model, the behaviour of these measures depends on details of the circuit and the task. These dependencies make experimentally testable predictions about the circuitry supporting abstract knowledge acquisition in the brain.

Type: Article
Title: Evolution of neural activity in circuits bridging sensory and abstract knowledge
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.7554/eLife.79908
Publisher version: https://doi.org/10.7554/eLife.79908
Language: English
Additional information: © 2023, Mastrogiuseppe et al. This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neurosci Unit
URI: https://discovery.ucl.ac.uk/id/eprint/10167041
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